Authenticating corrupted face image based on noise model

Ho Choul Jung, Bon Woo Hwang, Seong Whan Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    32 Citations (Scopus)

    Abstract

    In this paper, we propose a method for authenticating corrupted face images based on noise model. The proposed method first generates corrupted images by controlling noise parameters in the training phase. The corrupted images and noise parameters are represented by a linear combination of prototypes of the corrupted images and the noise parameters. With the corrupted image and an original image, we can estimate noise parameters of the corrupted face image in the testing phase. Then, we can make a synthesized face image from the original face image with the estimated noise parameters and verify it with the corrupted face image. Our experimental results show that the proposed method can estimate noise parameters accurately and improve the performance of face authentication.

    Original languageEnglish
    Title of host publicationProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
    Pages272-277
    Number of pages6
    Publication statusPublished - 2004
    EventProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 - Seoul, Korea, Republic of
    Duration: 2004 May 172004 May 19

    Publication series

    NameProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

    Other

    OtherProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
    Country/TerritoryKorea, Republic of
    CitySeoul
    Period04/5/1704/5/19

    ASJC Scopus subject areas

    • General Engineering

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